ABOUT onX

As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other onXers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences.

Through multiple years of growth, we haven’t lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we’re hungry to improve, value innovation, and believe great ideas come from any direction.

Important Alert: Please note, onXmaps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.

ABOUT THIS ROLE

onX is building the next-generation data foundation that fuels our growth. As a Data Engineer, you’ll design, build, and scale the lakehouse architecture that underpins analytics, machine learning, and AI at onX. You’ll work across teams to modernize our data ecosystem, making it discoverable, reliable, governed, and ready for self-service and intelligent automation.

This role is intentionally broad in scope. We’re seeking engineers who can operate anywhere along the data lifecycle from ingestion and transformation to metadata, orchestration, and MLOps. Depending on experience, you may focus on foundational architecture, scaling reusable services, or embedding governance, semantic alignment, and observability patterns into the platform.

As an onX Data Engineer, your day to day responsibilities would look like:

Architecture and Design

Design, implement, and evolve onX’s Iceberg-based lakehouse architecture to balance scalability, cost, and performance.
Establish data layer standards (Raw, Curated, Certified) that drive consistency, traceability, and reusability across domains.
Define and implement metadata first and semantic layer architectures that make data understandable, trusted, and ready for self-service analytics.
Partner with BI and business stakeholders to ensure domain models and certified metrics are clearly defined and aligned to business language.

Data Pipeline Development

Build and maintain scalable, reliable ingestion and transformation pipelines using GCP tools (Spark, Dataflow, Pub/Sub, BigQuery, Dataplex, Cloud Composer).
Develop batch and streaming frameworks with schema enforcement, partitioning, and lineage capture.
Use configuration-driven, reusable frameworks to scale ingestion, curation, and publishing across domains.
Apply data quality checks and contracts at every layer to ensure consistency, auditability, and trust.

MLOps and Advanced Workflows

Collaborate with Data Science to integrate feature stores, model registries, and model monitoring into the platform.
Build and maintain standardized orchestration and observability patterns for both data and ML pipelines, ensuring SLA, latency, and cost visibility.
Develop reusable microservices that support model training, deployment, and scoring within a governed, observable MLOps framework.
Implement self-healing patterns to minimize MTTR and ensure production reliability.

Governance, Metadata, and Self-Service Enablement

Automate governance via metadata-driven access controls (row/column permissions, sensitivity tagging, lineage tracking).
Define and maintain the semantic layer that bridges the technical data platform and business self-service, enabling analysts and AI systems to explore data confidently.
Use GCP Dataplex as the unifying layer for data discovery, lineage, and access management, serving as the first step in evolving our metadata fabric toward a fully connected semantic graph.
Extend metadata models so datasets, pipelines, and models become interconnected, explainable, and machine-readable, enabling future intelligence built on relationships, not just tables.
Champion the use of metadata and semantics as the control plane for quality, cost, and performance, empowering teams to self-serve trusted data.

Collaboration and Enablement

Partner with BI, Product, and Marketing to align on key business metrics, certified definitions, and self-service models.
Work closely with infrastructure and security teams to embed privacy, cost management, and compliance into every layer of the stack.
Mentor peers by documenting patterns, reviewing code, and promoting best practices.
Participate in KTLO (Keep the Lights On) to ensure stability as modernization continues.

LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub.”

Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.
- Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members.
- Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

WHAT YOU’LL BRING

General

Bachelor’s degree in Computer Science or equivalent work experience
Five (5) or more years of professional software development experience is required focused on web client development
You believe that your profession is a craft and you’re driven to improve every day
A shared passion for and ability to demonstrate onX’s Company Values
Permanent US work authorization is a condition of employment with onX

Technical Expertise

Deep experience designing and building pipelines using GCP (Spark, Dataflow, Pub/Sub, BigQuery, Composer, Dataplex, Cloud Storage).
Strong programming skills in Python and SQL; familiarity with Java or Scala is a plus.
Expertise in data modeling, schema evolution, and optimization for both batch and streaming systems.
Hands-on experience with Apache Iceberg or similar table formats (Delta, Hudi).
Knowledge of MLOps frameworks (feature store, model registry, monitoring) and integration with data pipelines.
Experience implementing or supporting a semantic layer for governed self-service analytics.
Familiarity with event-driven architectures and near-real-time data processing patterns.
Understanding of data governance, quality, and compliance principles.
Proficiency with orchestration, observability, and CI/CD practices for data workloads.
Proven ability to design system architecture, lead cross-functional data initiatives, and mentor other engineers.

Mindset and Collaboration

You think in systems and reusable patterns, not one-off pipelines.
You see metadata and semantics as strategic assets, not technical overhead.
You bridge the gap between tech

COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $125,000 to $145,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE ARE OFFERING YOU

Competitive salaries, annual bonuses, equity, and opportunities for growth
Comprehensive health benefits including a no-monthly-cost medical plan
Parental leave plan of 5 or 13 weeks fully paid
401k matching at 100% for the first 3% you save and 50% from 3-5%
Company-wide outdoor adventures and amazing outdoor industry perks
Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PS@onxmaps.com.

Position open until filled.

#LI-Remote

At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!

onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.

As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.